> ## Documentation Index
> Fetch the complete documentation index at: https://ikun.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# 流式代理

## 代码

```python cookbook/models/lmstudio/basic_stream.py theme={null}
from typing import Iterator  # noqa
from agno.agent import Agent, RunResponse  # noqa
from agno.models.lmstudio import LMStudio

agent = Agent(model=LMStudio(id="qwen2.5-7b-instruct-1m"), markdown=True)

# Get the response in a variable
# run_response: Iterator[RunResponse] = agent.run("Share a 2 sentence horror story", stream=True)
# for chunk in run_response:
#     print(chunk.content)

# Print the response in the terminal
agent.print_response("分享一个两句话的恐怖故事", stream=True)
```

## 使用方法

<Steps>
  <Snippet file="create-venv-step.mdx" />

  <Step title="安装 LM Studio">
    从 [这里](https://lmstudio.ai/download) 安装 LM Studio，并下载您想使用的模型。
  </Step>

  <Step title="安装库">`bash pip install -U agno `</Step>

  <Step title="运行代理">
    <CodeGroup>
      ```bash Mac theme={null}
      python cookbook/models/lmstudio/basic_stream.py
      ```

      ```bash Windows theme={null}
      python cookbook/models/lmstudio/basic_stream.py
      ```
    </CodeGroup>
  </Step>
</Steps>